Abstract
Focusing on semantic parse and bias problems during the clustering process of agricultural scientific data, a clustering method for agricultural scientific data based on author’s scientific research relationship is proposed in this paper. Meanwhile, an assessment algorithm of the scientific research relationship based on co-author ship and authors’ inter-citation is put forward. Finally, the experimental results proved that the proposed clustering method for the agricultural scientific data can effectively improve error classification caused by semantic parse and bias.
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Acknowledgements
Funding for this research was provided by national science and technology basic conditions platform ‘‘The agricultural science data sharing Centre” (2005DKA31800) and technology Innovation Engineering project of CAAS “Research on agricultural cognitive computing and supercomputing” (CAAS-ASTIP-2016-AII).
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Wu, D., Wang, L., Wang, J., Zhao, H., Zhou, G. (2019). Research on the Clustering Method of Agricultural Scientific Data Based on the Author’s Scientific Research Relationship. In: Li, D. (eds) Computer and Computing Technologies in Agriculture X. CCTA 2016. IFIP Advances in Information and Communication Technology, vol 509. Springer, Cham. https://doi.org/10.1007/978-3-030-06155-5_37
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DOI: https://doi.org/10.1007/978-3-030-06155-5_37
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